Position: Senior Data Analyst (Procurement )

Procurement Analytics & Reporting 

• Design, develop, and maintain interactive Power BI dashboards and reports to support spend analysis, supplier performance, contract lifecycle management, and procurement KPIs. 

• Deliver data-driven insights across categories including facilities management, construction, fit-out, property services, and professional services. 

• Conduct spend cube analysis and category benchmarking to identify savings opportunities and procurement efficiencies. 

• Monitor and report on procurement compliance, procurement metrics and maverick spend. 

• Build and manage scalable data pipelines using Microsoft Fabric (Data Factory, Dataflows Gen2) and Databricks to ingest, transform, and model procurement data from multiple source systems. 

• Develop and maintain Delta Lake tables and Lakehouse architectures within Microsoft Fabric to support a single source of truth for procurement data. 

• Write efficient SQL, PySpark, and Python scripts to perform data wrangling, cleansing, and transformation at scale. 

• Integrate data from ERP systems, contract management platforms, and supplier portals into unified data models. 

Process Automation 

• Design and deploy automated workflows using Power Automate to streamline procurement processes. 

• Identify manual, repetitive data tasks and implement automation solutions to improve team productivity and reduce errors. 

• Collaborate with the TDS teams to embed automation best practices across the procurement function. 

Stakeholder Engagement & Collaboration 

• Partner with Procurement Managers, Category Leads, and Finance to translate business requirements into analytical solutions. 

• Present findings and recommendations to senior stakeholders in a clear, concise, and commercially relevant manner. 

• Support the CPO and leadership team with ad hoc data requests, market intelligence, and strategic reporting. 

• Act as a champion of data literacy within the procurement team, providing training and guidance on self-service analytics tools. 

Data Governance & Quality 

• Implement and uphold data quality standards, validation rules, and governance frameworks across all procurement datasets. 

• Document data dictionaries, pipeline logic, and report specifications to ensure reproducibility and knowledge transfer. 

SKILLS & EXPERIENCE – ESSENTIAL 

Core Technical Skills 

• Power BI: Advanced proficiency in building enterprise-grade dashboards and reports, including DAX measures, calculated columns, row-level security (RLS), and paginated reports. Experience with Power BI Service, deployment pipelines, and dataflows. 

• Microsoft Fabric: Hands-on experience with Microsoft Fabric components including Lakehouse, Data Warehouse, Data Factory, Dataflows Gen2, Notebooks, and OneLake. Understanding of the Fabric compute model and workspace administration. 

• Databricks: Proficient in using Databricks for large-scale data transformation and analytics using PySpark and SQL. Experience with Delta Lake, Unity Catalog, and cluster configuration. 

• Power Automate: Ability to design and build automated business workflows using Power Automate (cloud flows), including integration with Microsoft 365, SharePoint, Teams, and third-party connectors. 

• SQL: Strong command of SQL for data extraction, transformation, and analysis across relational databases (SQL Server, Azure SQL, Synapse). 

Data & Analytics 

• Minimum 3–5 years of experience in a data analyst or business intelligence role, ideally within procurement, real estate, or a similarly complex commercial environment. 

• Demonstrated experience working with large, complex datasets and building robust data models (star schema, snowflake schema). 

• Familiarity with data visualisation best practices and UX principles for dashboard design. 

Procurement & Domain Knowledge 

• Understanding of procurement processes including strategic sourcing, supplier management, contract management, and P2P cycles. 

• Commercial real estate sector knowledge is advantageous, including awareness of property management, construction, FM, and asset lifecycle data. 

SKILLS & EXPERIENCE – DESIRABLE 

• Experience with procurement systems such as SpendHQ, MarketDojo, ServiceEdge, Vroozi or similar platforms. 

• Experience with Git/Azure DevOps for version control and CI/CD pipelines for analytics assets. 

• Exposure to Copilot for Microsoft 365 or AI-assisted analytics tooling. 

• Microsoft certifications such as PL-300 (Power BI), DP-600 (Fabric Analytics Engineer), or AZ-900/DP-203 are highly regarded. 

PERSONAL ATTRIBUTES 

• Commercially astute with a strong ability to connect data insights to business outcomes and value delivery. 

• Proactive, self-motivated, and comfortable working autonomously in a fast-paced, matrixed environment. 

• Excellent communication and stakeholder management skills, with the ability to translate complex analytical concepts for non-technical audiences. 

• Detail-oriented with a commitment to data accuracy, documentation, and governance. 

• Collaborative team player who actively shares knowledge and contributes to a culture of continuous improvement. 

• Curious mindset with a drive to stay current with emerging data technologies and industry trends. 

Why join Cushman & Wakefield? 

As one of the leading global real estate services firms transforming the way people work, shop and live working at Cushman & Wakefield means you will benefit from; 

• Being part of a growing global company; 

• Career development and a promote from within culture; 

• An organisation committed to DRIVE values (Driven, Resilient, Inclusive, Visionary, and Entrepreneurial)